Real-time crop intelligence that scans pathogens, verifies RAG safety, predicts weather advisories — and operates offline.

Production-grade AI agriculture stack: Next.js frontend · FastAPI brain · Gemini 3.6 Flash multimodal vision · ChromaDB vector guardrails · Open-Meteo telemetry.

Get Started →  ·  Intelligence Stack  ·  System Architecture  ·  Judges' Highlights

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🏆 Judges' Highlight — Key Innovations

⚡ Gemini 3.6 Flash Multimodal Engine Processes raw leaf imagery alongside operational contexts in under 1.8 seconds. Built with automated backoff retries and instant fallback model routing.	🛡️ Zero-Hallucination Vector RAG Integrates ChromaDB vector search to verify AI recommendations against validated agronomic manuals before presenting chemical/treatment steps to farmers.
🌦️ Hyper-Local Spray Telemetry Uses high-precision browser Geolocation paired with Open-Meteo APIs to provide real-time temperature, rain risk, and optimal spray window advisories.	📡 Offline-First Rural Resilience Features IndexedDB scan queueing for low-connectivity environments, auto-synchronizing field telemetry as soon as network connectivity restores.

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⚡ Core Intelligence Stack

01. GEMINI 3.6 PATHOGEN SCANNER "Snap a leaf scan for instant, multimodal diagnosis backed by sub-2-second inference." 👁️ Visual Pathogen Engine: Evaluates crop leaf micro-imagery using gemini-3.6-flash to detect blights, rusts, and nutrient deficiencies. ✍️ Field Context Overlay: Dynamically blends crop context (e.g., Urban Garden vs. Large Field Ag) to calibrate model confidence. 🌐 Bilingual UI & Direct Synthesis: Delivers immediate remediation playbooks natively formatted in both English and Tamil (தமிழ்).

02. TELEMETRY & SPRAY ADVISORY "Never spray before a rainstorm. Live climate vectors guide optimal treatment windows." 📡 GPS Geo-Targeting: Captures client coordinates with automatic fallback routing to local regional defaults. 🌡️ Open-Meteo Integration: Fetches live surface temperatures, humidity profiles, and 24-hour precipitation probabilities. 🛡️ Spray Window Logic: Evaluates wind speed and rain risk to instruct farmers whether to proceed, hold, or delay foliar treatments.

03. CHROMADB RAG GUARDRAILS "Grounding AI outputs in verified agricultural manuals to protect crop yields." 📚 Manual Embeddings: Queries a vector index populated with certified agronomic literature and pesticide regulatory manuals. 🎯 RAG Context Injection: Pins Gemini generation parameters to retrieve vector passages, suppressing dangerous dosage hallucinations. 🔒 Safety Verification Layer: Ensures treatment methods conform to safety threshold standards prior to user rendering.

04. OFFLINE-FIRST RESILIENCE "Seamless operational continuity for remote fields with poor cell connectivity." 📲 Local Queue Engine: Intercepts network loss and queues diagnostic scans in client-side IndexedDB storage. 🔄 Background Re-Sync: Monitors browser online events and automatically flushes queued scans to FastAPI upon reconnection. ⚡ Single Root Config: Driven by a unified find_dotenv() structure for seamless multi-environment deployments.

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🏗 Architecture

Live system flow — Next.js client, FastAPI engine, Gemini 3.6 Flash, ChromaDB vector store, and Open-Meteo telemetry:

flowchart TB
  subgraph CLIENT["🖥️ Client Layer (Next.js 15 / React / Tailwind)"]
    FE["App Router UI<br/>Bilingual (EN/TA)"]
    IDB[("IndexedDB<br/>Offline Queue")]
    GEO["Browser Geolocation<br/>(Lat / Long)"]
  end

  subgraph API["⚙️ FastAPI Backend Layer (Python 3.12)"]
    MAIN["main.py (find_dotenv)"]
    AUTH["/api/v1/auth<br/>(Session Teardown)"]
    SCAN["/api/scan<br/>Diagnostic Pipeline"]
    IRR["/api/irrigation"]
    YIELD["/api/v1/yield-estimator"]
  end

  subgraph EXT["🌐 External Telemetry & AI Engines"]
    GEM["Google Gemini 3.6 Flash<br/>(Multimodal Vision & Diagnosis)"]
    RAG[("ChromaDB Vector Store<br/>(Agricultural Manuals)")]
    METEO["Open-Meteo API<br/>(Live Weather & Spray Window)"]
  end

  FE -->|"1. Submit Scan + Context"| MAIN
  GEO -.->|"Coordinates Payload"| FE
  FE <-->|"Fallback Offline Queue"| IDB

  MAIN --> AUTH
  MAIN --> SCAN
  MAIN --> IRR
  MAIN --> YIELD

  SCAN -->|"2. Query Vector Manuals"| RAG
  SCAN -->|"3. Fetch Temp & Rain Risk"| METEO
  SCAN -->|"4. Multimodal Synthesis"| GEM
  GEM -->|"5. Structured JSON Diagnostic"| SCAN
  SCAN -->|"6. Render Results & Spray Advisory"| FE

  classDef frontend fill:#1E40AF,stroke:#93C5FD,color:#FFFFFF,stroke-width:2px
  classDef backend fill:#166534,stroke:#86EFAC,color:#FFFFFF,stroke-width:2px
  classDef external fill:#0F766E,stroke:#5EEAD4,color:#FFFFFF,stroke-width:2px
  classDef db fill:#6B21A8,stroke:#D8B4FE,color:#FFFFFF,stroke-width:2px

  class FE,GEO frontend
  class IDB,RAG db
  class MAIN,AUTH,SCAN,IRR,YIELD backend
  class GEM,METEO external

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